Parametrized quantum circuits are at the heart of many algorithms designed for NISQ devices. A prominent example is variational quantum simulation (VQS) [1]}, [2]}, a class of hybrid quantum-classical algorithms for solving optimization problems. Using a quantum circuit composed of parametric gates as an ansatz, the quantum coprocessor is used to efficiently evaluate the cost function for a given set of variational parameters. The minimization procedure is then performed on a classical computer in a feedback loop based on the measurement outcome obtained from the quantum device. VQS has been successfully applied to quantum many-body systems in quantum chemistry [1]}, [4]}, [5]}, [6]} and even quantum mechanics and quantum field theory [7]}, [8]}, [9]}, [10]}, [11]}.
